Group Product Manager, Data Feeds

🕒 September 25

🇺🇸 United States – Remote

💵 $190k - $205k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

👻 Ghost score 5%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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YipitData

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🏢 Enterprise

Finance • Enterprise • Data Analysis

YipitData is a company that specializes in providing accurate, timely insights on over 1,000 companies by analyzing billions of data points every day. They offer detailed research to help investors make smarter decisions and assist companies in increasing market share, sales, and customer base. YipitData delivers alternative data through a range of datasets, including receipt data, card data, web data, and publicly reported earnings. This data is used to track market trends, consumer behavior, and product categories, enabling businesses to gain transparency into performance metrics. Their services cater to investors, companies, and data partners, with a strong focus on accuracy and near real-time data delivery.

📋 Description

• Manage, coach, and grow a team of product managers • Establish product responsibilities, goals, and decision-making expectations • Build practices for planning, roadmap reviews, customer feedback, and performance measurement • Recruit and develop product talent • Own portfolio strategy aligned with broader business direction • Guide product visions and roadmaps • Prioritize across roadmaps and shared capabilities • Validate use cases and commercial demand for new data sources • Identify portfolio gaps, overlap, and dataset combination opportunities • Recommend offerings to scale, improve, consolidate, or retire • Serve as hands-on product manager for a strategically important data feed or quant-focused initiative • Lead customer discovery, investigate data, and translate customer needs into product decisions • Partner with Data, Engineering, Data Science, and Quant Research to assess feasibility and launch products • Improve products through client evaluation and integration feedback • Share accountability for portfolio revenue growth, retention, expansion, and product economics • Partner on pricing, packaging, positioning, sales, and evaluation processes • Define and track customer adoption, evaluation conversion, time to value, retention, and commercial results • Establish expectations for data quality, coverage, timeliness, documentation, and delivery • Partner on quality controls, monitoring, change management, and issue resolution • Improve customer discovery, evaluation, onboarding, integration, and support for feeds • Ensure clients understand methodologies, limitations, historical changes, and use cases • Build a repeatable experience for quant and systematic customers • Align Product, Data, Engineering, Research, Quant, Applications, and commercial teams • Partner with Quant Research on systematic investor requirements • Evaluate data opportunities against customer needs, licensing constraints, quality, and economics • Communicate strategy, tradeoffs, progress, and risks to leadership and cross-functional partners

🎯 Requirements

• Significant product management experience, typically 7+ years, including ownership of commercial data products, data feeds, or similarly data-intensive B2B products • Experience directly managing and developing product managers • Track record of taking products from customer discovery through launch and scaling, with measurable customer and business outcomes • Strong portfolio judgment and prioritization skills • Commercial fluency, including pricing, packaging, revenue growth, retention, or product economics • Proficiency in SQL and comfort using Python to investigate data and assess product questions • Technical fluency in data products, including schemas, methodologies, quality, delivery mechanisms, and implications of product changes • Excellent communication and cross-functional leadership skills • Desire to remain a hands-on product owner while building and leading a team • Preferred: experience with alternative data, financial data, or investment research products • Preferred: familiarity with fundamental, quantitative, or systematic investment workflows, including dataset evaluation, backtesting, and integration • Preferred: experience building portfolios serving multiple customer segments or combining multiple data sources • Preferred: experience with third-party data partnerships, licensing considerations, and vendor dependencies • Preferred: familiarity with APIs, cloud-based data delivery, and data quality and operational reliability practices

🏖️ Benefits

• Flexible work hours • Flexible vacation • Generous 401K match • Parental leave • Team events • Wellness budget • Learning reimbursement • Equity • Annual performance-based bonus of up to 15% • Fully remote work within the United States